Job Description:

Experiance:5 to 7 Years

We are seeking a highly skilled and motivated Oracle + PySpark Data Engineer/Analyst to join our team. The ideal candidate will be responsible for leveraging the Oracle database and PySpark to manage, transform, and analyze data to support our business's decision-making processes. This role will play a crucial part in maintaining data integrity, optimizing data processes, and enabling data-driven insights.

Key Responsibilities:

1. Data Integration: Integrate data from various sources into Oracle databases and design PySpark data pipelines to enable data transformation and analytics. 2. Data Transformation:** Develop and maintain data transformation workflows using PySpark to clean, enrich, and structure data for analytical purposes.** 3. Data Modeling:** Create and maintain data models within Oracle databases, ensuring data is structured and indexed for optimal query performance.4. Query Optimization: Write complex SQL queries and PySpark transformations for efficient data retrieval and processing.** 5. Data Analysis:** Collaborate with data analysts and business teams to provide insights through data analysis and reporting.6. Data Quality: Implement data quality checks, error handling, and validation processes to ensure data accuracy and reliability.** 7. Performance Tuning:** Optimize Oracle database and PySpark jobs to improve**

Known Tools

• Proven experience in working with Oracle databases and PySpark. Strong proficiency in SQL, PL/SQL, Python, and PySpark.

• Familiarity with Oracle database administration, data warehousing, and ETL concepts.

• Understanding of big data technologies and distributed computing principles.

• Strong analytical and problem-solving skills.

• Excellent communication and teamwork abilities.

• Knowledge of data security and compliance standardsand overall data processing and analysis performance.

• **Documentation: Create and maintain comprehensive documentation for data

  models, ETL processes, and codebase**

Originally posted on Himalayas